A deep learning solution that predicts design performance in real time
We build deep learning models capable of predicting in real time
the various engineering performance metrics and manufacturability
that new designs must satisfy.
Deep learning models trained on simulation, test, and production data
can dramatically reduce the time and cost previously spent on repetitive tasks.
Rapidly assess engineering performance as a substitute for time-consuming structural, thermal, and fluid simulations.
By training on experimental data, performance can be predicted even in the early stages without detailed CAD information.
Training on both experimental and simulation data together can improve prediction accuracy.
You can assess the manufacturability of the product in consideration with its productivity, and predict the manufacturing costs and analyze the factors of cost increase.